Min Gyu LEE Homepage

Ph.D Student,

Visual Intelligence Lab. (VILab) [Google Scholar] 

Department of Advanced Imaging, Chung-Ang University

305-801, 84, Heukseok-ro 5-gil, Dongjak-gu, Seoul, Republic of Korea

Email : mglee@vilab.cau.ac.kr, cinchon82@gmail.com

Experience

• • 2023-              Generative AI in LGCNS

  • 2020-2023  Cloud Infrastructure engineer in LGCNS

  • 2017-2019  Renewal Energy Business Development in LGCNS

  • 2011-2016  Convergence Enginneer at SmartCity, Buildings in LGCNS 

  • 2008-2010  Urban Engineering in Yonsei University (Master's Degree)

Research Interest

• • Image Data Augmentation

  • Industrial Anomaly Detection

  • Multi-modal Learning (T2I)

Project

• • [2024.01~ ] Verification of vehicle manufacturer’s design generation method

Honors & Awards

• • Grand Prize on A.I idea competition, LGCNS, 2020

Patent

• • Architectural decorative material design work system and method, 2020

Publications

International

• • Text-guided Variational Image Generation Method for Industrial Anomaly Detection and Segmentation, Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [Arxiv]  [Github] 

  • CAA: Category-specific Augmentation Search Using Attentional Interpolation for Unsupervised Domain Adaptation, 2024 (~ing).

  • Text guided Image Generation Method, 2024 (~ing, Journal).

Domestic

• •  An analysis of the level of importance by design element of urban waterfront eco parks,

        Urban design Institute, 2011, 430(9Page)

• • A Comparative Study on Preferences and Uses of the Welfare Facilities Annexed to the Apartment Housing Complex,

        Urban design Institute, 2009, 126(11Page)

• •  The Study of Satisfaction and Perception in Public Facility Remodeling , 

Korea Planning association 2008, 445(8Page)